| A high order formula to approximate the Caputo fractional derivative R Mokhtari, F Mostajeran Communications on Applied Mathematics and Computation 2 (1), 1-29, 2020 | 28 | 2020 |
| DeepBHCP: Deep neural network algorithm for solving backward heat conduction problems F Mostajeran, R Mokhtari Computer Physics Communications 272, 108236, 2022 | 14 | 2022 |
| Radial basis function neural network (RBFNN) approximation of Cauchy inverse problems of the Laplace equation F Mostajeran, SM Hosseini Computers and Mathematics with Applications 141, 129-144, 2023 | 7 | 2023 |
| DNN-HDG: A deep learning hybridized discontinuous Galerkin method for solving some elliptic problems S Baharloui, R Mokhtari, F Mostajeran Engineering Analysis with Boundary Elements 151, 656-669, 2023 | 4 | 2023 |
| A high-order scheme for time-space fractional diffusion equations with Caputo-Riesz derivatives G Sayyar, SM Hosseini, F Mostajeran Computers & Mathematics with Applications 104, 34-43, 2021 | 4 | 2021 |
| A high-order fractional physics-informed neural network (fPINN) for solving time fractional diffusion equations with Caputo derivatives F Mostajeran, SM Hosseini The 54th Annual Iranian Mathematics Conference, 266-269, 2023 | | 2023 |
| A novel growing wavelet neural network algorithm for solving chemotaxis systems with blow‐up F Mostajeran, SM Hosseini Mathematical Methods in the Applied Sciences, 2023 | | 2023 |
| On a deep neural network algorithm for solving backward heat conduction problems F Mostajeran, R Mokhtari 35th Chemnitz Finite Element Symposium 2022, 2022 | | 2022 |
